My own implementations of various machine learning algorithms
This repo will display my implementations of various machine learning algorithms mostly in Python or R. There will be a directory for each algorithm that I implement.
The purpose is to learn to understand ML algorithms better. Many see ML algorithms as a black box, therefore, it is important to build your own to understand them at a deeper level. I often find myself using libraries such as scikit-learn, tensorflow, or mlbench to use ML in applications without actually understanding how they work. This project attempts to fix that issue.
Next Algorithms to implements:
- Linear Regression
- Logistic regression
- Decision Tree